• Journal of the Korea Fashion and Costume Design Association
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• v.9 no.2
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• pp.1-13
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• 2007

Black has played a more important role in the history of fashion than other colors. In general, black was regarded as a color of negative images. However, as people have recognized the aesthetic value of black color, they have expressed unique and various images of black through the medium of clothes. This study was based on both theory research and actual survey, where survey sheets were distributed to collect data. For data analysis, SPSS 10.0, a statistics software, was used, and frequency, pecentage, t-test, ANOVA test, and Duncan test were adopted and analyzed. The survey was conducted on 608 men over 20 in Seoul, Gyeonggi Province, Gangwon Province, and other areas for two months from May 20, 2005 to July 25, 2005. The analysis showed the following results. First, Dignity was the mostly cited image of black color among men followed by modernity, sorrow, feminineness, abstinence, and sensuality. Second, Men showed different responses according to their age. In sum, men more strongly recognize abstinence and sensuality in black dress as they become older. Marital status significantly affected men's recognition of black dress in terms of abstinence and sensuality. Abstinence was more strongly recognized by married men than single men. In addition, married men pointed out sensuality of black dress more frequently than single men. In short, married men tended to recognize abstinence and sensuality more easily than single men. Education level clearly affected men's recognition of dignity, modernity, and abstinence in black dress. In sum, as men got higher education, they tended to increasingly recognize dignity and modernity in black dress. In conclusion, this study has proved that black dress has unique aesthetic values and reflects various images according to age, marital status, education level.

• Archives of design research
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• v.15 no.3
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• pp.15-28
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• 2002

The purpose of this research is to identify the concrete imagery terms that characterize Korean cultural identity and to express Korean feelings and images through those words. We classified the selected imagery terms into the elements of design, the principles of design, abstraction, expression and function. As a result, new aspects of the Korean Image are as follows. 1, It recognized that the colors representing the Korean image are not only achromatic but also splendid. 2. Noble images with common images have taken up a large part of Korean traditional image. 3. Pleasant images as well as sad images should be presented as a new perspective to express Korean cultural identity. 4. Indirect image rather than direct image appears frequently, while positive/active image appears frequently. Since this image accounts for a large portion of Korean present image it cannot be overlooked as Korean traditional Image. 5. Korean traditional architecture is expressed as functional and rational. Up until now, representative imagery terms about Korean cultural identity appear to be positive and active and we know that Korean feelings and images are implying more variety to the image generally recognized at this time. Therefore, if today's various information technology, and values are compared and the continuity and changes of designs are appropriately combined above Korean cultural identity with these results, this will provide an essential direction for the development of global Korean designs.

• International Journal of Contents
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• v.8 no.3
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• pp.83-93
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• 2012

In this paper, we propose a novel method that automatically generates real character images to familiarize existing OCR systems with new fonts. At first, we generate synthetic character images using a simple degradation model. The synthetic data is used to train an OCR engine, and the trained OCR is used to recognize and label real character images that are segmented from ideal document images. Since the OCR engine is unable to recognize accurately all real character images, a substring matching method is employed to fix wrongly labeled characters by comparing two strings; one is the string grouped by recognized characters in an ideal document image, and the other is the ordered string of characters which we are considering to train and recognize. Based on our method, we build a system that automatically generates 2350 most common Korean and 117 alphanumeric characters from new fonts. The ideal document images used in the system are postal envelope images with characters printed in ascending order of their codes. The proposed system achieved a labeling accuracy of 99%. Therefore, we believe that our system is effective in facilitating the generation of numerous character samples to enhance the recognition rate of existing OCR systems for fonts that have never been trained.

• Fashion & Textile Research Journal
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• v.13 no.5
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• pp.769-777
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• 2011

Anti-aging is one of the key words to have characterized Korean society, and Korean adults in their 40s and 50s are very interested in this word. In this study, their cognitive ages and body images which are expected to have been influenced by anti-ageing were determined and correlation between them was examined. A survey was conducted and 368 of 500 questionnaires were used in data analysis. Data were analyzed by descriptives, factor analysis, reliability analysis, correlation analysis, and multiple response analysis through SPSS 12.0. The results are as follows. First, the cognitive ages of Korean adults in their 40s and 50s showed to be 37.5 years old which are 9.1 years old younger than their average actual ages. Second, their attitudinal body images appeared to be composed of appearance orientation and appearance evaluation, and appearance orientation represented to be a little higher than appearance evaluation. In addition, it showed that the correlation between cognitive ages and the attitudinal body images was low and negative. Third, people in their 40s and 50s revealed to think good health and impression as ideal body images. It was found that they regarded a face as the most important body part for ideal body images and were sensitive of their weight. Forth, correlation between cognitive ages and variables of ideal body images was identified to be significant in 4 variables which are slender, shapely and slim figure and good body proportions. In conclusion, it was shown that Korean adults in their 40s and 50s recognized themselves to be 9.1 years old younger and, the younger they perceive themselves, the younger body images they want. Also, it could be confirmed that anti-ageing is a megatrend in Korean society.

• The Journal of the Acoustical Society of Korea
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• v.42 no.1
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• pp.67-74
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• 2023

The images acquired from the speaker's mouth region revealed the unique patterns according to the corresponding voices. By using this principle, the several methods were proposed in which speech signals were recognized or synthesized from the images acquired at the speaker's lower face. In this study, an image-based speech synthesis method was proposed in which the depth images were cooperatively used. Since depth images yielded depth information that cannot be acquired from optical image, it can be used for the purpose of supplementing flat optical images. In this paper, the usefulness of depth images from the perspective of speech synthesis was evaluated. The validation experiment was carried out on 60 Korean isolated words, it was confirmed that the performance in terms of both subjective and objective evaluation was comparable to the optical image-based method. When the two images were used in combination, performance improvements were observed compared with when each image was used alone.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.104-112
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• 2019

This study proposed a robust detection algorithm. It detects face more stably with respect to changes in light and rotation forthe identification of a face shape. The proposed algorithm uses face shape asinput information in a single camera environment and divides only face area through preprocessing process. However, it is not easy to accurately recognize the face area that is sensitive to lighting changes and has a large degree of freedom, and the error range is large. In this paper, we separated the background and face area using the brightness difference of the two images to increase the recognition rate. The brightness difference between the two images means the difference between the images taken under the bright light and the images taken under the dark light. After separating only the face region, the face shape is recognized by using the self-organization feature map (SOFM) algorithm. SOFM first selects the first top neuron through the learning process. Second, the highest neuron is renewed by competing again between the highest neuron and neighboring neurons through the competition process. Third, the final top neuron is selected by repeating the learning process and the competition process. In addition, the competition will go through a three-step learning process to ensure that the top neurons are updated well among neurons. By using these SOFM neural network algorithms, we intend to implement a stable and robust real-time face shape recognition system in face shape recognition.

• Journal of Information Technology Services
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• v.17 no.1
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• pp.17-32
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• 2018

The city image is considered one of important symbolic and important factors in selecting the travel destination. Many cities are trying to be an attractive and popular city to tourists through the construction of a good brand image by utilizing their representative characteristics. This study measures the city brand image by applying a big data analytic method. In addition, the big data measurement results were rearranged and analyzed to identify further detailed city images by utilizing several previous interpretation methods. Our study has chosen Dubai since this city has the diverse images due to its regional as well as economic characteristics. In particular, nowadays Dubai has been recognized as one of the most important touristic places in the Middle East region for its modern and innovative images in spite of the limitations of location, weather, religion, and even political issues of neighbor countries. Founded on a big data analysis rather than a questionnaire-based survey, the presented interpretation methods are evaluated to improve the understanding of Dubai's diverse city images. In addition, based on the results of this research, it is expected to have a practical impact on establishing the effective marketing strategies to build and implement the valuable city brand image.

• Korean Institute of Interior Design Journal
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• no.34
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• pp.149-156
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• 2002

This study intends to acquire objective models for basic quantitative analysis of pattern and space through image-recognition technique, and verify the effectiveness of such acquired models. Many experiments showed that the recognized result can be varied depending on the different viewpoints and the analysis based on the single-viewpoint images does not provide objectivity. The experiment using multi-viewpoint image models, which was attempted as an alternative for the disadvantages, showed the recognition similar to that of the actual model. Especially, images generated at laboratory using miniature model may be useful in comparing and understanding plural number of patterns. The models that have been acquired using such images may be hard to use in acquiring images for analyzing actual building patterns or indoor space, although they may be useful in pattern analysis using miniature model. The disadvantage, however, can be supplemented with panorama VR and C. G. simulation technique. Steady researches are required on the application of visual information to the image recognition principle and the model for quantitative analysis of pattern and space in addition to the research on the construction of the model that can be used in comparing and analyzing not only form and space but also miniature models.

• Journal of the Korean Society of Costume
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• v.59 no.4
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• pp.41-53
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• 2009

This study analyzed expression types of dot patterns and derived out inherent characteristics to provide fundamental resources for advancement of high value added creative designs. As a result of the study, Firstly, the circular motive was used to form silhouettes or as a symbol of a decoration. Secondly, a simple form and color dot pattern was used to create one side, or a circular shaped accessory was used to be recognized as a construction line or a decoration line. Thirdly, textile printing is mainly used but handicraft and decorative images were used to add vitality through piece technique, embroidery, collage, cut-out, patch work, etc. Fourthly, different circular motives were integrated, partitioned and duplicated for abstract geometrical images. Fifthly, variations were added by mixing different dot patterns that are arranged regularly and irregularly in different sizes and gaps creating compounded designs with handicraft touches, different angles or on top of each other. Sixthly, hybrid images were created with rearrangement of dot patterns and by adding floral shapes, stripes or other abstract and geometrical shapes. Such various and creative attempts construct new formative beauty in fashion design and I believe that it can establish the development of unique images that satisfies the taste of today's consumers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.11a
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• pp.244-247
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• 1999

in this paper, we propose the recognition system of face using polynomial coefficients to recognize fact images using neural network. The system consists of following steps. First step, the sizes of fare images is reduced sizes of input images to 1/4 using wavelet transform. Second step, the polynomial coefficients is obtained from low frequency coefficient matrix after 3 level wavelet transform. Third step, polynomial coefficients is normalized. The of range of normalization is from -1 to 1. Last, Face images is trained and recognized using neural network with error back propagation algorithm.